EDBT 2026 Demo / reviewers in the wild / expert
Bhavya K. Daya
dblp:84/11470
· DBLP profile ↗
5ranked-venue papers
3as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 5 · 3 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
4 papers |
Memory systems · 40% Interconnection networks and networks-on-chip · 38% Cloud and datacenter computing · 11% |
Topics — the 9 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interconnection networks and networks-on-chip › network-on-chip design
bufferless noc |
0.5 | 2 | 2017 | Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network Systems · DAC 2017 Quest for high-performance bufferless NoCs with single-cycle express paths and self-learning throttling · DAC 2016 |
Memory systems
cache coherence |
0.5 | 2 | 2017 | Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network Systems · DAC 2017 SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering · ISCA 2014 |
Memory systems › cache coherence › cache coherence protocol
snoopy coherence |
0.5 | 2 | 2017 | Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network Systems · DAC 2017 SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering · ISCA 2014 |
Cloud and datacenter computing › quality of service
guaranteed service |
0.3 | 1 | 2017 | Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network Systems · DAC 2017 |
Processor architecture and microarchitecture
chip multiprocessor |
0.2 | 1 | 2014 | SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering · ISCA 2014 |
Interconnection networks and networks-on-chip › router architecture
router microarchitecture |
0.1 | 1 | 2012 | Approaching the theoretical limits of a mesh NoC with a 16-node chip prototype in 45nm SOI · DAC 2012 |
Hardware accelerators and domain-specific architectures › machine learning accelerator
neural network accelerator |
0.1 | 1 | 2017 | Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network Systems · DAC 2017 |
Memory systems › cache coherence
directory-based coherence |
0.1 | 1 | 2014 | SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering · ISCA 2014 |
Interconnection networks and networks-on-chip
multicast |
0.0 | 1 | 2012 | Approaching the theoretical limits of a mesh NoC with a 16-node chip prototype in 45nm SOI · DAC 2012 |
Methods — techniques the papers use, named apart from their topics
time-based sharing · 0.3single-cycle paths · 0.3throttling · 0.2prioritization · 0.2bypassing · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Low-Power On-Chip Network Providing Guaranteed Services for Snoopy Coherent and Artificial Neural Network SystemsabstractDuring the transition to packet-switched on-chip networks we lose the relative timing and ordering of requests, which are essential for shared memory coherency and the communication of spikes in hardware-based artificial neural networks. We present a bufferless network architecture that enforces a time-based sharing of multi-hop single-cycle paths, providing guaranteed services at low cost. We guarantee ordered delivery of requests, fixed network latency, and jitter-free neural spikes. In a 64-node network, we achieve a 84% lower latency and 7.5x higher throughput than SCORPIO. Full-system 36-core simulations show a 9% lower runtime than SCORPIO, with 39% lower power and 36% lower area. Bhavya K. Daya, Li-Shiuan Peh, Anantha P. Chandrakasan |
DAC | 1 |
| 2016 | Quest for high-performance bufferless NoCs with single-cycle express paths and self-learning throttlingabstractRouter buffers are the main reason for the Network-on-Chip's (NoC) scalable bandwidth, but consumes significant area and power. The SCEPTER bufferless NoC sets up single-cycle virtual express paths dynamically, allowing packets to traverse non-minimal paths without latency penalty. Using prioritization, bypassing, and throttling mechanisms, we maximize opportunities to use these paths while pushing bandwidth. For 64 and 256 nodes, we achieve 62% lower latency, 1.3x higher throughput, and 35% lower starvation over a baseline bufferless NoC for synthetic traffic. Full-system 36-core simulations show a 19% lower runtime, on-par performance to a buffered network, with 36% lower area, 33% lower power. Bhavya K. Daya, Li-Shiuan Peh, Anantha P. Chandrakasan |
DAC | 1 |
| 2014 | SCORPIO: 36-core shared memory processor demonstrating snoopy coherence on a mesh interconnectabstractThis article consists of a collection of slides from the author's conference presentation on the special features, system design and architectures, processing capabilities, and targeted markets for Freescale Inc.'s SCORPIO, a 36-core shared memory processor. Chia-Hsin Owen Chen, Sunghyun Park 0002, Suvinay Subramanian, Tushar Krishna, Bhavya K. Daya, Woo-Cheol Kwon, Brett Wilkerson, John Arends, Anantha P. Chandrakasan, Li-Shiuan Peh |
Hot Chips Symposium | 5 |
| 2014 | SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network orderingabstractIn the many-core era, scalable coherence and on-chip interconnects are crucial for shared memory processors. While snoopy coherence is common in small multicore systems, directory-based coherence is the de facto choice for scalability to many cores, as snoopy relies on ordered interconnects which do not scale. However, directory-based coherence does not scale beyond tens of cores due to excessive directory area overhead or inaccurate sharer tracking. Prior techniques supporting ordering on arbitrary unordered networks are impractical for full multicore chip designs. Bhavya K. Daya, Chia-Hsin Owen Chen, Suvinay Subramanian, Woo-Cheol Kwon, Sunghyun Park 0002, Tushar Krishna, Jim Holt, Anantha P. Chandrakasan, Li-Shiuan Peh |
ISCA | 1 |
| 2012 | Approaching the theoretical limits of a mesh NoC with a 16-node chip prototype in 45nm SOIabstractIn this paper, we present a case study of our chip prototype of a 16-node 4x4 mesh NoC fabricated in 45nm SOI CMOS that aims to simultaneously optimize energy-latency-throughput for unicasts, multicasts and broadcasts. We first define and analyze the theoretical limits of a mesh NoC in latency, throughput and energy, then describe how we approach these limits through a combination of microarchitecture and circuit techniques. Our 1.1V 1GHz NoC chip achieves 1-cycle router-and-link latency at each hop and energy-efficient router-level multicast support, delivering 892Gb/s (87.1% of the theoretical bandwidth limit) at 531.4mW for a mixed traffic of unicasts and broadcasts. Through this fabrication, we derive insights that help guide our research, and we believe, will also be useful to the NoC and multicore research community. Sunghyun Park 0002, Tushar Krishna, Chia-Hsin Owen Chen, Bhavya K. Daya, Anantha P. Chandrakasan, Li-Shiuan Peh |
DAC | 4 |